b'Li Chen'

research

∙ 09/18/2023

Discovery and inference of a causal network with hidden confounding

This article proposes a novel causal discovery and inference method call...

0 Li Chen, et al. ∙

research

∙ 09/16/2023

MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer

Precise crop yield prediction provides valuable information for agricult...

0 Fudong Lin, et al. ∙

research

∙ 09/11/2023

PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

Personalized text-to-image generation has emerged as a powerful and soug...

0 Li Chen, et al. ∙

research

∙ 09/11/2023

An Empirical Study of NetOps Capability of Pre-Trained Large Language Models

Nowadays, the versatile capabilities of Pre-trained Large Language Model...

0 Yukai Miao, et al. ∙

research

∙ 08/23/2023

Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas

Landslide susceptibility assessment (LSA) is of paramount importance in ...

0 Peifeng Ma, et al. ∙

research

∙ 08/11/2023

Augmented Negative Sampling for Collaborative Filtering

Negative sampling is essential for implicit-feedback-based collaborative...

0 Yuhan Zhao, et al. ∙

research

∙ 08/07/2023

AvatarVerse: High-quality Stable 3D Avatar Creation from Text and Pose

Creating expressive, diverse and high-quality 3D avatars from highly cus...

0 Huichao Zhang, et al. ∙

research

∙ 08/01/2023

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving

End-to-end autonomous driving aims to build a fully differentiable syste...

0 Xiaosong Jia, et al. ∙

research

∙ 07/20/2023

Perceptual Quality Assessment of Omnidirectional Audio-visual Signals

Omnidirectional videos (ODVs) play an increasingly important role in the...

0 Xilei Zhu, et al. ∙

research

∙ 06/29/2023

End-to-end Autonomous Driving: Challenges and Frontiers

The autonomous driving community has witnessed a rapid growth in approac...

0 Li Chen, et al. ∙

research

∙ 06/28/2023

Near-Field Beam Management for Extremely Large-Scale Array Communications

Extremely large-scale arrays (XL-arrays) have emerged as a promising tec...

0 Changsheng You, et al. ∙

research

∙ 06/05/2023

Scene as Occupancy

Human driver can easily describe the complex traffic scene by visual sys...

0 Wenwen Tong, et al. ∙

research

∙ 06/01/2023

Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model

With fewer feature dimensions, filter banks are often used in light-weig...

0 Xiaohuai Le, et al. ∙

research

∙ 05/28/2023

Regression analysis of longitudinal data with mixed synchronous and asynchronous longitudinal covariates

In linear models, omitting a covariate that is orthogonal to covariates ...

0 Zhuowei Sun, et al. ∙

research

∙ 05/11/2023

ParamNet: A Parameter-variable Network for Fast Stain Normalization

In practice, digital pathology images are often affected by various fact...

0 Hongtao Kang, et al. ∙

research

∙ 05/10/2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

End-to-end autonomous driving has made impressive progress in recent yea...

0 Xiaosong Jia, et al. ∙

research

∙ 04/21/2023

High-Accuracy Multicommodity Flows via Iterative Refinement

The multicommodity flow problem is a classic problem in network flow and...

0 Li Chen, et al. ∙

research

∙ 03/15/2023

Communication-Efficient Design for Quantized Decentralized Federated Learning

Decentralized federated learning (DFL) is a variant of federated learnin...

0 Wei Liu, et al. ∙

research

∙ 03/14/2023

Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge

In ICASSP 2023 speech signal improvement challenge, we developed a dual-...

0 Mingshuai Liu, et al. ∙

research

∙ 02/20/2023

Personalized speech enhancement combining band-split RNN and speaker attentive module

Target speaker information can be utilized in speech enhancement (SE) mo...

0 Xiaohuai Le, et al. ∙

research

∙ 02/17/2023

Rigorous Derivation of the Degenerate Parabolic-Elliptic Keller-Segel System from a Moderately Interacting Stochastic Particle System. Part II Propagation of Chaos

This work is a series of two articles. The main goal is to rigorously de...

0 Li Chen, et al. ∙

research

∙ 01/18/2023

Mixed Near- and Far-Field Communications for Extremely Large-Scale Array: An Interference Perspective

Extremely large-scale array (XL-array) is envisioned to achieve super-hi...

0 Yunpu Zhang, et al. ∙

research

∙ 01/03/2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling

Witnessing the impressive achievements of pre-training techniques on lar...

0 Penghao Wu, et al. ∙

research

∙ 12/20/2022

Goal-oriented Autonomous Driving

Modern autonomous driving system is characterized as modular tasks in se...

0 Yihan Hu, et al. ∙

research

∙ 12/12/2022

You Only Need a Good Embeddings Extractor to Fix Spurious Correlations

Spurious correlations in training data often lead to robustness issues s...

0 Raghav Mehta, et al. ∙

research

∙ 11/16/2022

On the Power of Learning-Augmented BSTs

We present the first Learning-Augmented Binary Search Tree(BST) that att...

0 Jingbang Chen, et al. ∙

research

∙ 11/03/2022

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

GPUs are essential to accelerating the latency-sensitive deep neural net...

0 Fei Xu, et al. ∙

research

∙ 10/26/2022

Deep Learning is Provably Robust to Symmetric Label Noise

Deep neural networks (DNNs) are capable of perfectly fitting the trainin...

0 Carey E. Priebe, et al. ∙

research

∙ 09/19/2022

A Simple Framework for Finding Balanced Sparse Cuts via APSP

We present a very simple and intuitive algorithm to find balanced sparse...

0 Li Chen, et al. ∙

research

∙ 09/06/2022

Coexistence of Pulsed Radar and Communications: Interference Suppression and Multi-path Combining

The focus of this study is on the spectrum sharing between multiple-inpu...

0 Haoyu Zhang, et al. ∙

research

∙ 08/29/2022

Minimum Coverage Instrumentation

Modern compilers leverage block coverage profile data to carry out downs...

0 Li Chen, et al. ∙

research

∙ 07/20/2022

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

In clinical procedures of angioplasty (i.e., open clogged coronary arter...

0 Luojie Huang, et al. ∙

research

∙ 07/20/2022

Design of Coded Caching Schemes with Linear Subpacketizations Based on Injective Arc Coloring of Regular Digraphs

Coded caching is an effective technique to decongest the amount of traff...

0 Xianzhang Wu, et al. ∙

research

∙ 07/15/2022

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning

Many existing autonomous driving paradigms involve a multi-stage discret...

0 Shengchao Hu, et al. ∙

research

∙ 07/02/2022

CRB for a Generic Near-Field Positioning System Using Three Electric Field Types

The use of larger antenna arrays at higher frequency bands is envisioned...

0 Ang Chen, et al. ∙

research

∙ 06/25/2022

Enhanced Deep Animation Video Interpolation

Existing learning-based frame interpolation algorithms extract consecuti...

0 Wang Shen, et al. ∙

research

∙ 06/16/2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

Current end-to-end autonomous driving methods either run a controller ba...

0 Penghao Wu, et al. ∙

research

∙ 05/28/2022

Deep Learning with Label Noise: A Hierarchical Approach

Deep neural networks are susceptible to label noise. Existing methods to...

0 Li Chen, et al. ∙

research

∙ 04/30/2022

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

One essential task for autonomous driving is to encode the information o...

0 Xiaosong Jia, et al. ∙

research

∙ 03/24/2022

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

Conversational recommender systems (CRSs) imitate human advisors to assi...

0 Wanling Cai, et al. ∙

research

∙ 03/17/2022

Conversational Recommendation: A Grand AI Challenge

Animated avatars, which look and talk like humans, are iconic visions of...

0 Dietmar Jannach, et al. ∙

research

∙ 03/11/2022

A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data

The surface defect detection method based on visual perception has been ...

0 Qifan Jin, et al. ∙

research

∙ 03/01/2022

Maximum Flow and Minimum-Cost Flow in Almost-Linear Time

We give an algorithm that computes exact maximum flows and minimum-cost ...

0 Li Chen, et al. ∙

research

∙ 02/06/2022

Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark

Most video understanding methods are learned on high-quality videos. How...

0 Yuan Tian, et al. ∙

research

∙ 11/15/2021

Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks

One major problem in black-box adversarial attacks is the high query com...

0 Chen Ma, et al. ∙

research

∙ 10/29/2021

Estimating the Distribution of Ratio of Paired Event Times in Phase II Oncology Trials

With the rapid development of new anti-cancer agents which are cytostati...

0 Li Chen, et al. ∙

research

∙ 10/25/2021

Weighted Mean Difference Statistics for Paired Data in Presence of Missing Values

Missing data is a common issue in many biomedical studies. Under a paire...

0 Yuntong Li, et al. ∙

research

∙ 10/19/2021

Aesthetic Photo Collage with Deep Reinforcement Learning

Photo collage aims to automatically arrange multiple photos on a given c...

9 Mingrui Zhang, et al. ∙

research

∙ 10/07/2021

Cloning one's voice using very limited data in the wild

With the increasing popularity of speech synthesis products, the industr...

0 Dongyang Dai, et al. ∙

research

∙ 10/06/2021

Reversible adversarial examples against local visual perturbation

Recently, studies have indicated that adversarial attacks pose a threat ...

0 Zhaoxia Yin, et al. ∙

Li Chen

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